Optimization Engine
Surrogate models, active learning, and Pareto analysis
CMA-ES Optimizer
How MatCraft uses Covariance Matrix Adaptation Evolution Strategy for materials optimization.
8 min read
cma-es
optimizer
evolution-strategy
MLP Surrogate Model
Multi-layer perceptron surrogate for fast objective prediction.
7 min read
surrogate
mlp
neural-network
Active Learning
The iterative sample-train-acquire loop that drives efficient materials discovery.
7 min read
active-learning
acquisition
sample-efficiency
Pareto Analysis
Analyze and interpret multi-objective Pareto fronts from optimization campaigns.
7 min read
pareto
multi-objective
analysis
Convergence
How MatCraft detects convergence and when to stop optimization campaigns.
6 min read
convergence
stopping-criteria
hypervolume
Multi-Objective Optimization
Theory and practice of optimizing multiple conflicting material properties simultaneously.
7 min read
multi-objective
pareto
trade-offs
Hyperparameters
Tuning guide for optimizer, surrogate, and active learning hyperparameters.
7 min read
hyperparameters
tuning
configuration
Benchmarks
Performance benchmarks comparing MatCraft's optimizer against baselines.
6 min read
benchmarks
performance
comparison